Update README.md

Author: rejojer

README.md

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 [![PageIndex MCP Home](https://img.shields.io/badge/PageIndex_MCP_Home-4280d3?style=for-the-badge&logo=readthedocs&logoColor=white)](https://pageindex.ai/mcp)  [![PageIndex Home](https://img.shields.io/badge/PageIndex_Home-3B82F6?style=for-the-badge&logo=homeadvisor&logoColor=white)](https://vectify.ai/pageindex)
 
-[**PageIndex**](https://github.com/VectifyAI/PageIndex) is a vectorless, reasoning-based RAG system that represents documents as **hierarchical tree structures**. It enables LLMs to navigate and retrieve information through structure and **reasoning**, not vector similarity — much like a human would retrieve information using a book's index.
+[**PageIndex**](https://github.com/VectifyAI/PageIndex) is a vectorless, reasoning-based RAG system that represents documents as hierarchical **tree structures**. It enables LLMs to navigate and retrieve information through structure and **reasoning**, not vector similarity — much like a human would retrieve information using a book's index.
 
-[**PageIndex MCP**](https://pageindex.ai/mcp) exposes this LLM-native tree index directly to agents and LLMs via MCP, allowing platforms like **Claude**, **Cursor**, and other MCP-compatible agents or LLMs to reason over document structure and retrieve the right information — without vector databases.
+[**PageIndex MCP**](https://pageindex.ai/mcp) exposes this **LLM-native tree index** directly to agents and LLMs via MCP, allowing platforms like **Claude**, **Cursor**, and other MCP-compatible agents or LLMs to reason over document structure and retrieve the right information — without vector databases.
 
 Want to chat with long PDFs but hit context limit reached errors? Add your file to PageIndex to seamlessly chat with long PDFs on any agent/LLM platforms.